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dc.creatorMacías Sánchez, Juanes
dc.creatorParra Membrives, Pabloes
dc.creatorSosa Moreno, Franciscoes
dc.creatorRincón, Pilares
dc.creatorMartínez Baena, Daríoes
dc.creatorFernández Fuertes, Martaes
dc.creatorLorente Herce, José Manueles
dc.creatorMartínez, Rafael C.es
dc.creatorJiménez Riera, Águeda Granadaes
dc.creatorCorma Gómez, Anaïses
dc.creatorGonzález-Serna Martín, Manuel Alejandroes
dc.creatorPineda Vergara, Juan Antonioes
dc.creatorReal, Luis Migueles
dc.date.accessioned2023-05-17T15:15:05Z
dc.date.available2023-05-17T15:15:05Z
dc.date.issued2022-12-19
dc.identifier.citationMacías Sánchez, J., Parra Membrives, P., Sosa Moreno, F., Rincón, P., Martínez Baena, D., Fernández Fuertes, M.,...,Real, L.M. (2022). Controlled attenuation parameter-insulin resistance (CIR) score to predict non-alcoholic steatohepatitis. Scientific Reports, 12 (1), 21897. https://doi.org/10.1038/s41598-022-25931-7.
dc.identifier.issn2045-2322es
dc.identifier.urihttps://hdl.handle.net/11441/146255
dc.description.abstractThe diagnosis of non-alcoholic steatohepatitis (NASH) requires liver biopsy. Patients with NASH are at risk of progression to advanced fibrosis and hepatocellular carcinoma. A reliable non-invasive tool for the detection of NASH is needed. We aimed at developing a tool to diagnose NASH based on a predictive model including routine clinical and transient hepatic elastography (TE) data. All subjects undergoing elective cholecystectomy in our center were invited to participate, if alcohol intake was < 30 g/d for men and < 15 g/d for women. TE with controlled attenuation parameter (CAP) was obtained before surgery. A liver biopsy was taken during surgery. Multivariate logistic regression models to predict NASH were constructed with the first 100 patients, the elaboration group, and the results were validated in the next pre-planned 50 patients. Overall, 155 patients underwent liver biopsy. In the elaboration group, independent predictors of NASH were CAP value [adjusted OR (AOR) 1.024, 95% confidence interval (95% CI) 1.002–1.046, p = 0.030] and HOMA value (AOR 1.847, 95% CI 1.203–2.835, p < 0.001). An index derived from the logistic regression equation to identify NASH was designated as the CAP-insulin resistance (CIR) score. The area under the receiver operating characteristic curve (95%CI) of the CIR score was 0.93 (0.87–0.99). Positive (PPV) and negative predictive values (NPV) of the CIR score were 82% and 91%, respectively. In the validation set, PPV was 83% and NPV was 88%. In conclusion, the CIR score, a simple index based on CAP and HOMA, can reliably identify patients with and without NASH.es
dc.formatapplication/pdfes
dc.format.extent8 p.es
dc.language.isoenges
dc.publisherNature Researches
dc.relation.ispartofScientific Reports, 12 (1), 21897.
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleControlled attenuation parameter-insulin resistance (CIR) score to predict non-alcoholic steatohepatitises
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Medicinaes
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Cirugíaes
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Fisiologíaes
dc.relation.projectIDA1-0060-2021es
dc.relation.projectIDCP18/00146es
dc.relation.projectIDCM19/00251es
dc.relation.projectIDB-0061-2021es
dc.relation.projectIDPI18/00606es
dc.relation.projectIDPI-0001/2017es
dc.relation.publisherversionhttps://www.nature.com/articles/s41598-022-25931-7es
dc.identifier.doi10.1038/s41598-022-25931-7es
dc.journaltitleScientific Reportses
dc.publication.volumen12es
dc.publication.issue1es
dc.publication.initialPage21897es
dc.contributor.funderConsejería de Salud y Familias. Junta de Andalucíaes
dc.contributor.funderInstituto de Salud Carlos IIIes
dc.contributor.funderServicio Andaluz de Saludes
dc.contributor.funderEuropean Commission (EC). Fondo Europeo de Desarrollo Regional (FEDER)es

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